Global climate and water balance time series.
This dataset provides monthly climate and climatic water balance variables. TerraClimate uses climatically aided interpolation, combining high-spatial resolution climatological normals from the WorldClim dataset, with coarser resolution time varying (i.e., monthly) data from other sources to produce a monthly dataset of precipitation, temperature, wind speed, vapor pressure, and solar radiation. TerraClimate additionally produces monthly surface water balance datasets using a water balance model that incorporates reference evapotranspiration, precipitation, temperature, and interpolated plant extractable soil water capacity.
totalPrecipitation | Total precipitation (mm)
| content | description |
|---|---|
| value_range | 0…n |
minPDSI | Minimum Palmer Drought Severity Index (PDSI)
| content | description |
|---|---|
| value_range | 0…n |
maxPDSI | Maximum Palmer Drought Severity Index (PDSI)
| content | description |
|---|---|
| value_range | 0…n |
# data call without specifying subdataset and resolution
list_data("TerraClimate")
# data call for specific subdataset
list_data("TerraClimate/totalPrecipitation")
# data call to subdataset with a specific resolution
list_data("TerraClimate/totalPrecipitation/4km")[1] Abatzoglou, Dobrowski, Parks, and Hegewisch (2018)